{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b10d6132",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.colors as mcolors"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4b4e9759",
   "metadata": {},
   "source": [
    "## 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "eb532a92",
   "metadata": {},
   "outputs": [],
   "source": [
    "data=pd.read_excel('第二章 图表(前15).xlsx',sheet_name='1 渐变柱形图',usecols=\"B,C\",skiprows=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d29b2939",
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rcParams['font.sans-serif'] = ['SimHei']\t# 显示中文\n",
    "plt.rcParams['axes.unicode_minus'] = False\t\t# 显示负号"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c51370e1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def gradient_image(ax, direction=0.3, cmap_range=(0, 1), **kwargs):\n",
    "    phi = direction * np.pi / 2\n",
    "    v = np.array([np.cos(phi), np.sin(phi)])\n",
    "    X = np.array([[v @ [1, 0], v @ [1, 1]],\n",
    "                  [v @ [0, 0], v @ [0, 1]]])\n",
    "    a, b = cmap_range\n",
    "    X = a + (b - a) / X.max() * X\n",
    "    im = ax.imshow(X, interpolation='bicubic', clim=(0, 1),\n",
    "                   aspect='auto', **kwargs)\n",
    "    return im\n",
    "def gradient_bar(ax, x, y, width=0.5, bottom=0):\n",
    "    for left, top in zip(x, y):\n",
    "        right = left + width\n",
    "        gradient_image(ax, extent=(left, right, bottom, top),\n",
    "                       cmap=plt.cm.Blues_r, cmap_range=(0, 0.8))\n",
    "\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.set(xlim=(-0.5, 6), ylim=(0, 4000))\n",
    "plt.xlabel('区域')\n",
    "plt.ylabel('销售量')\n",
    "x = data[\"区域\"].values\n",
    "y = data[\"销售量\"]\n",
    "gradient_bar(ax,np.arange(6), y, width=0.5)\n",
    "plt.xticks(np.arange(6),x)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18e4d115",
   "metadata": {},
   "source": [
    "## 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "01041c94",
   "metadata": {},
   "outputs": [],
   "source": [
    "data2=pd.read_excel('第二章 图表(前15).xlsx',sheet_name='2 带均值柱形图',usecols=\"B,C,D\",skiprows=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "8b8ad6c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "data2=data2.drop([6,7,8])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "297dd986",
   "metadata": {},
   "outputs": [],
   "source": [
    "mean_value=data2['均值'][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c8ff9c99",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 创建数据\n",
    "categories = data2['区域']\n",
    "values = data2['销售量']\n",
    "# 设置轴标签\n",
    "ax.set_title('3月各区域销量分布')\n",
    "fig, ax = plt.subplots()\n",
    "ax.set(xlim=(-0.5, 6), ylim=(0, 4000))\n",
    "ax.axhline(mean_value, color='gray', linestyle='--', linewidth=2)\n",
    "plt.xlabel('区域')\n",
    "plt.ylabel('销售量')\n",
    "x = categories\n",
    "y = values\n",
    "gradient_bar(ax,np.arange(6), y, width=0.5)\n",
    "plt.xticks(np.arange(6),x)\n",
    "plt.show()\n",
    "# 显示图形\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "02c56c8e",
   "metadata": {},
   "source": [
    "## 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "88b8a91b",
   "metadata": {},
   "outputs": [],
   "source": [
    "data3=pd.read_excel('第二章 图表(前15).xlsx',sheet_name='3 渐变圆角柱形图',usecols=\"B,C\",skiprows=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b235567c-9ae5-40ad-99e2-88650072c867",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>商品</th>\n",
       "      <th>销量</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>口红</td>\n",
       "      <td>653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>面膜</td>\n",
       "      <td>523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>隔离</td>\n",
       "      <td>648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>防晒</td>\n",
       "      <td>856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>精华</td>\n",
       "      <td>714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>面霜</td>\n",
       "      <td>785</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   商品   销量\n",
       "0  口红  653\n",
       "1  面膜  523\n",
       "2  隔离  648\n",
       "3  防晒  856\n",
       "4  精华  714\n",
       "5  面霜  785"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data3"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8eb11922-36a6-49b5-89be-e02325714ee8",
   "metadata": {},
   "source": [
    "## 4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "4fe0e0ff-44cf-4f33-97e5-5feee8b33c0c",
   "metadata": {},
   "outputs": [],
   "source": [
    "data4=pd.read_excel('第二章 图表(前15).xlsx',sheet_name='4 标注柱形图',usecols=\"B,C\",skiprows=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "d09b3134-624d-4f12-b2c3-92e8235c7de5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "categories = data4['月份']\n",
    "values = data4['销量']\n",
    "\n",
    "# 创建图形和轴\n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "# 绘制柱形图\n",
    "bars = ax.bar(categories, values, color='skyblue')\n",
    "\n",
    "# 添加标注\n",
    "for bar in bars:\n",
    "    height = bar.get_height()\n",
    "    ax.annotate(f'{height}',  # 标注的内容\n",
    "                xy=(bar.get_x() + bar.get_width() / 2, height),  # 标注的位置（柱形的中心上方）\n",
    "                xytext=(0, 3),  # 文本偏移量（相对于标注位置）\n",
    "                textcoords=\"offset points\",  # 文本坐标系统（相对于标注位置）\n",
    "                ha='center',  # 水平对齐方式\n",
    "                va='bottom')  # 垂直对齐方式\n",
    "\n",
    "# 设置x轴和y轴的标签\n",
    "ax.set_xlabel('销量')\n",
    "ax.set_ylabel('产品')\n",
    "\n",
    "# 显示图形\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "494f9d4c-0335-4e8e-b423-fee53c21ab86",
   "metadata": {},
   "source": [
    "## 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "6a4aa477-b728-4119-b395-b6c99ba56756",
   "metadata": {},
   "outputs": [],
   "source": [
    "data5=pd.read_excel('第二章 图表(前15).xlsx',sheet_name='5 层叠柱形图',usecols=\"B,C,D\",skiprows=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "1ee4f6f0-f7aa-4e7b-a585-356a36af16e5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "categories = data5['季度']\n",
    "values1 = data5['销售额']\n",
    "values2 = data5['利润额']\n",
    "\n",
    "# 设置柱状图的宽度和偏移量\n",
    "bar_width = 0.25\n",
    "bar_offset = bar_width / 2  # 偏移量是柱状图宽度的一半，以便清晰地分开各组\n",
    "\n",
    "# 设置x轴的位置\n",
    "index = np.arange(len(categories))\n",
    "\n",
    "# 创建图形和轴\n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "# 绘制分组柱状图\n",
    "bar1 = ax.bar(index - bar_offset, values1, bar_width, label='销售额', color='skyblue', bottom=0)\n",
    "bar2 = ax.bar(index, values2, bar_width, label='利润额', color='lightgreen', bottom=0)\n",
    "\n",
    "# 添加图例\n",
    "ax.legend()\n",
    "\n",
    "# 设置x轴和y轴的标签\n",
    "ax.set_title('2021年至今季度销售额(万)和利润额(万)')\n",
    "\n",
    "# 设置x轴的刻度\n",
    "ax.set_xticks(index - bar_offset + bar_width / 2)  # 将刻度设置在每组的中间位置\n",
    "ax.set_xticklabels(categories)\n",
    "\n",
    "# 显示图形\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d437f558-886b-4d1e-894d-b5ac2c1566a6",
   "metadata": {},
   "source": [
    "## 6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "9d7ae1ee-9093-467f-b3c0-0a6dcdb6f2df",
   "metadata": {},
   "outputs": [],
   "source": [
    "data5=pd.read_excel('第二章 图表(前15).xlsx',sheet_name='6 蝴蝶图',usecols=\"B,C,D,E,F\",skiprows=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "cbd00b24-6a61-423f-9526-a966c3170c8e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>区域</th>\n",
       "      <th>占位1</th>\n",
       "      <th>2022年销量</th>\n",
       "      <th>占位2</th>\n",
       "      <th>2021年销量</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>华东</td>\n",
       "      <td>2238</td>\n",
       "      <td>1215</td>\n",
       "      <td>1215</td>\n",
       "      <td>1003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>西北</td>\n",
       "      <td>2132</td>\n",
       "      <td>1321</td>\n",
       "      <td>1215</td>\n",
       "      <td>1265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>东北</td>\n",
       "      <td>2027</td>\n",
       "      <td>1426</td>\n",
       "      <td>1215</td>\n",
       "      <td>1531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>华北</td>\n",
       "      <td>1922</td>\n",
       "      <td>1531</td>\n",
       "      <td>1215</td>\n",
       "      <td>1436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>华南</td>\n",
       "      <td>1215</td>\n",
       "      <td>2238</td>\n",
       "      <td>1215</td>\n",
       "      <td>2066</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   区域   占位1  2022年销量   占位2  2021年销量\n",
       "0  华东  2238     1215  1215     1003\n",
       "1  西北  2132     1321  1215     1265\n",
       "2  东北  2027     1426  1215     1531\n",
       "3  华北  1922     1531  1215     1436\n",
       "4  华南  1215     2238  1215     2066"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "0d56b985-1848-44df-8112-7d5fac98c8b3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "categories = data5['区域']\n",
    "values1 = data5['2022年销量']\n",
    "values2 = data5['2021年销量']\n",
    "\n",
    "y_pos = np.arange(len(categories))\n",
    "\n",
    "# 额外的空间用于文本标注，避免与y轴刻度标签重叠\n",
    "text_offset = 0.1\n",
    "\n",
    "# 创建图形和轴\n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "ax.barh(y_pos, values1, height=0.4, label='2022年销量', color='skyblue', align='center')\n",
    "\n",
    "ax.barh(y_pos, -values2, height=0.4, label='2021年销量', color='lightgreen', align='center')\n",
    "\n",
    "# 设置x轴的上下限，确保所有值（包括负值的绝对值）都能正常显示\n",
    "max_value = max(values1 + [abs(v) for v in values2])\n",
    "ax.set_xlim(-max_value * 1.1, max_value * 1.1)\n",
    "\n",
    "# 添加与x轴平行的参考线（在水平条形图中，这实际上是y=0线）\n",
    "ax.axvline(x=0, color='black', linestyle='--', linewidth=1)\n",
    "\n",
    "# 设置y轴刻度为类别名称，并将方向设置为水平\n",
    "ax.set_yticks(y_pos)\n",
    "ax.set_yticklabels(categories)\n",
    "ax.tick_params(axis='y', labelrotation=0)\n",
    "\n",
    "# 添加文本标注，显示两个数据系列的差值\n",
    "for y in y_pos:\n",
    "    diff = values1[y] - values2[y]\n",
    "    if diff >= 0:\n",
    "        # 正值差，显示在上方条形图的顶部边缘上方\n",
    "        text_x = values1[y] + 0.05 * max_value\n",
    "        text_y = y_pos[y] + text_offset  # 调整y坐标（实际上是x坐标方向的对应值）以避免与y轴刻度标签重叠\n",
    "    else:\n",
    "        # 负值差，显示在模拟的“负侧”条形图的上方（即实际绘制的绝对值条形图位置上方）\n",
    "        text_x = -values2[y]  # 使用负值的绝对值作为x坐标\n",
    "        text_y = y_pos[y] - 0.45 + text_offset  # 调整y坐标（x坐标方向的对应值）以放置在绝对值条形图的上方，并确保不与y轴刻度标签重叠\n",
    "\n",
    "\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
